OPENAI_API_KEY

gpt.tar.gz

Python

Golang

Java

Sandbox

Python_textGen

In this course, you’ll start a transformative learning journey exploring the applications of GPT-3 in AI and gaining hands-on experience with this powerful language model.

You’ll start the course by understanding the basics of GPT-3 and its applications across domains and then learn to use the OpenAI API with Python, Go, and Java. Next, you’ll dive into prompting techniques with GPT-3, exploring essential topics to understand how to use GPT-3 for next-gen startups with real-world use cases and applications. You’ll explore its role in prominent companies like GitHub, Algolia, and Microsoft’s Azure. Lastly, you will navigate the ethical considerations of GPT-3, addressing issues like AI bias, anti-bias countermeasures, and the environmental impact of LLMs.

After completing this course, you’ll gain a deep understanding of GPT-3. Whether you are an aspiring developer, entrepreneur, or professional transitioning to AI-focused roles, this course equips you with the skills to advance your career.

Unleashing the Power of AI with OpenAI’s GPT-3

In this chapter, we saw how corporations are using GPT-3-based products at scale and how the new Microsoft Azure OpenAI service is paving the way for enterprises interested in becoming part of the GPT-3 ecosystem. We have dived into the nuances of scaling a GPT-3 powered product and shared some tips from the journey of large-scale enterprise-grade products. Further, we will look at some of the controversies and challenges surrounding the OpenAI API and LLMs more generally.

Course Introduction

The Large Language Model Revolution

Getting Started with OpenAI API

GPT-3 and Programming

GPT-3 Enabler for Next-Gen Startups

GPT-3 as the Next Step in Corporate Innovation

GPT-3—The Good, the Bad, and the Ugly

Conclusion—Democratizing Access to AI

GPT-3: Prompt Engineering and Uses

Summary: GPT-3 as the Next Step in Corporate Innovation